LIGOR 肝细胞癌瘤内空间异质性多组学图谱平台发布
LIGOR: A Geospatial Multi-omic Atlas of Intra-tumor Spatial Heterogeneity in Hepatocellular Carcinoma
研究团队发布肝细胞癌地理空间多组学资源 LIGOR，用于刻画瘤内空间异质性。该平台整合来自 136 例患者的 719 个空间分辨肿瘤分区，并汇总 43 个患者间队列共 6068 例患者，作者称其为肝细胞癌较为全面的数据库之一。LIGOR 分为基因组、转录组、免疫和生物标志物四个层次，支持驱动基因图谱、克隆演化、转录组亚型、肿瘤微环境状态和空间分辨生物标志物分析，并通过多模态整合框架把基因型改变与表型变异关联起来。平台已在 http://ligor.especies.cn/home 免费开放。
来源：Genomics, Proteomics & Bioinformatics · doi.org
Intra-tumor heterogeneity is one of the central hallmarks of hepatocellular carcinoma, yet its spatial and multi-modal organization remains poorly resolved. Here we present the Liver Cancer Geospatial Omics Resource called LIGOR, a platform that captures spatial intra-tumor heterogeneity through multi-regional, multi-omic profiling. LIGOR integrates 719 spatially resolved tumor sectors from 136 patients together with 43 inter-patient cohorts comprising 6068 patients, forming one of the most comprehensive databases for hepatocellular carcinoma. LIGOR is organized into genomic, transcriptomic, immunologic, and biomarker layers, capturing key dimensions of intra and inter tumor heterogeneity. These modules support analyses of driver landscapes, clonal evolution, transcriptomic subtypes, tumor microenvironment states, and spatially resolved biomarkers, while a multi-modal integration framework links genotypic alterations to phenotypic variation. Together, LIGOR provides a comprehensive, spatially informed framework to resolve the geospatial and molecular architecture of hepatocellular carcinoma and has the potential to translate these insights into clinically relevant biomarker evaluation and therapeutic strategies. LIGOR is freely available at http://ligor.especies.cn/home.